28 master-"https:" "https:" "https:" "https:" "CNRS " PhD research jobs in United Kingdom
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within a multi-partner consortium. Please note (MSCA mobility rule) Applicants must comply with the MSCA Doctoral Networks mobility rule: in general, they must not have resided or carried out their main
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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of building a virtual shoot meristem using multi-level data and computational modelling to investigate stem cell plasticity. The main focus of the RA's part of the project will be on computational modelling
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: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University London invites applications for a Research Assistant / PhD position as part of
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As the aerospace sector pushes the boundaries of aircraft performance – and sustainable operations – with highly flexible primary structures (such as high-aspect-ratio and morphing wings
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academics. Main duties and responsibilities The successful candidate will work with the Principal Investigator to design, organise and carry out research activities to screen gene edited materials for disease
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opportunities. Key responsibilities include collaborating with the Principal Investigator; undertaking fieldwork and archival research; contributing to typological analyses and building biographies; preparing
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of Public Health and Primary Care. The post-holder will contribute to the development and application of a simulation model exploring optimal approaches for iron supplementation in blood donors in England
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Epidemiology , Department of Public and Primary Care, University of Cambridge. They will be supervised by Professor Antonis Antoniou and mentored by Professor Douglas Easton. The successful candidate will be
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing